activity
20182021
most citedSNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

185 citations · 676 across the 32 of their papers we have counts for

collaborators

42 papers

cs.CV2021

Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization

Kengdong Lu, Jintao Cheng, Yubin Zhou +3

In this paper, we propose a robust edge-direct visual odometry (VO) based on CNN edge detection and Shi-Tomasi corner optimization. Four layers of pyramids were extracted from the…

cs.CV2021

SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume

Hengli Wang, Rui Fan, Ming Liu

Convolutional neural network (CNN)-based stereo matching approaches generally require a dense cost volume (DCV) for disparity estimation. However, generating such cost volumes is c…

cs.CV2021

Co-Teaching: An Ark to Unsupervised Stereo Matching

Hengli Wang, Rui Fan, Ming Liu

Stereo matching is a key component of autonomous driving perception. Recent unsupervised stereo matching approaches have received adequate attention due to their advantage of not r…

cs.CV20213 cited

SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection

Hengli Wang, Rui Fan, Peide Cai +1

Freespace detection is a fundamental component of autonomous driving perception. Recently, deep convolutional neural networks (DCNNs) have achieved impressive performance for this…

cs.RO2021

End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving

Hengli Wang, Peide Cai, Rui Fan +2

With the recent advancement of deep learning technology, data-driven approaches for autonomous car prediction and planning have achieved extraordinary performance. Nevertheless, mo…

cs.RO2021

S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs

Hengli Wang, Yuxiang Sun, Rui Fan +1

Path planning is a fundamental capability for autonomous navigation of robotic wheelchairs. With the impressive development of deep-learning technologies, imitation learning-based…